Digital finance is accelerating, and threats are evolving in complexity, outpacing traditional methods for detecting fraud.

This tool is more than just an academic model, it is a ready-to-deploy decision support system that integrates backend predictive analytics with frontend usability. By offering real-time insights, it ...

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical ...

The dataset used was a widely known credit card fraud detection benchmark obtained from Kaggle. It is notoriously imbalanced, ...

A new study used machine learning to pinpoint the lifestyle and health factors most strongly associated with cognitive ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...

This article explores the current applications of artificial intelligence (AI) in chromatography. It anticipates AI’s ...

Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania.

A stimulating session on method development in the age of artificial intelligence (AI) and machine learning (ML) was one of the highlights of the morning sessions on Tuesday, June 17, 2025, Day 2 of ...

Satellite data used by archaeologists to find traces of ancient ruins hidden under dense forest canopies can also be used to ...

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...